Finding correlations of features affecting energy consumption and performance of web servers using the HADAS eco-assistant

Munoz, Daniel-Jesús; Pinto, Mónica; Fuentes, Lidia

doi:10.1007/s00607-018-0632-7

Cited by 9 publications

(5 citation statements)

References 26 publications

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“…Others are exclusive to a particular domain, such as FMCAT [93] that focuses on the analysis of dynamic services product lines, and those activities are also supported by other tools such as FeatureIDE [14] or pure::variants [80], so they did not pass IC3. Finally, other tools such as HADAS [94] offer a spe- 13 A stable release (also called production release) is the last product version that has passed all verifications/tests, and whose remaining bugs are considered acceptable.…”

Section: Tool Selectionmentioning

confidence: 99%

Empirical analysis of the tool support for software product lines

2022

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For the last ten years, software product line (SPL) tool developers have been facing the implementation of different variability requirements and the support of SPL engineering activities demanded by emergent domains. Despite systematic literature reviews identifying the main characteristics of existing tools and the SPL activities they support, these reviews do not always help to understand if such tools provide what complex variability projects demand. This paper presents an empirical research in which we evaluate the degree of maturity of existing SPL tools focusing on their support of variability modeling characteristics and SPL engineering activities required by current application domains. We first identify the characteristics and activities that are essential for the development of SPLs by analyzing a selected sample of case studies chosen from application domains with high variability. Second, we conduct an exploratory study to analyze whether the existing tools support those characteristics and activities. We conclude that, with the current tool support, it is possible to develop a basic SPL approach. But we have also found out that these tools present several limitations when dealing with complex variability requirements demanded by emergent application domains, such as non-Boolean features or large configuration spaces. Additionally, we identify the necessity for an integrated approach with appropriate tool support to completely cover all the activities and phases of SPL engineering. To mitigate this problem, we propose different road map using the existing tools to partially or entirely support SPL engineering activities, from variability modeling to product derivation.

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Section: Tool Selectionmentioning

confidence: 99%

Empirical analysis of the tool support for software product lines

2022

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“…Hence, aggregations are functions for approximating the quality of configurations [55]. Feature-level attributes have clear advantages like smaller space (feature versus configuration space) and can be used in prediction functions, but they come at the cost of accuracy, manageability and maintainability (e.g., energy consumption [37]). This means that, while in theory any QA can be represented by attributes and functions, in the real world that niche is shared between the two spaces.…”

Section: Aggregate Operationsmentioning

confidence: 99%

“…An exception is the GIA algorithm [38], defined to be applied to an attributed FM that also uses the Z3 solver. Only a few approaches, such as QAMTool [57] and HADAS [37], support QAs at the configurationlevel. SPL Conqueror supports them only partially by calculating an approximated value for the feature attributes based on the set of measured configurations during the generation of the product configuration.…”

Section: Tools Supporting Quality-aware Reasoningmentioning

confidence: 99%

Quality-aware analysis and optimisation of virtual network functions

Munoz

Pinto

Fuentes

2022

Proceedings of the 26th ACM International Systems and Software Product Line Conference - Volume A

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The softwarisation and virtualisation of network functionality is the last milestone in the networking industry. Software-Defined Networks (SDN) and Network Function Virtualization (NFV) offer the possibility of using software to manage computer and mobile networks and build novel Virtual Network Functions (VNFs) deployed in heterogeneous devices. To reason about the variability of network functions and especially about the quality of a software product defined as a set of VNFs instantiated as part of a service (i.e., Service Function Chaining), a variability model along with a quality model is required.However, this domain imposes certain challenges to qualityaware reasoning of service function chains, such as numerical features or configuration-level Quality Attributes (QAs) (e.g., energy consumption). Incorporating numerical reasoning with quality data into SPL analyses is challenging and tool support is rare. In this work, we present 3 groups of operations: model report, aggregate functions to dynamically convert QAs at the feature-level into the configuration-level, and quality-aware optimisation. Our objective is to test the most complete reasoning tools to exploit the extended variability with quality attributes needed for VNFs. CCS CONCEPTS• Software and its engineering → Abstraction, modeling and modularity; Software product lines; Software performance; Requirements analysis; • Theory of computation → Automated reasoning; • Computing methodologies → Representation of mathematical objects.

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“…Regarding NFPs, although there are specific tools to deal with NFPs such as the NFR+ Framework [18], these tools are not intended to be used in an SPL, and they have to be integrated within other SPL tools. The same occurs with those approaches that manage NFPs in an ad-hoc way by associating features and/or configurations to NFPs stored in a database [34,46]. Actually, no tool provides even good support for modeling attributes in the feature model and manage them through the SPL process, as for example to generate optimum configurations based on these attributes.…”

Section: Spl Tools Roadmapmentioning

confidence: 99%

Software Product Line Engineering

Horcas

Pinto

Fuentes

2019

Proceedings of the 23rd International Systems and Software Product Line Conference - Volume A

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The lack of mature tool support is one of the main reasons that make the industry to be reluctant to adopt Software Product Line (SPL) approaches. A number of systematic literature reviews exist that identify the main characteristics offered by existing tools and the SPL phases in which they can be applied. However, these reviews do not really help to understand if those tools are offering what is really needed to apply SPLs to complex projects. These studies are mainly based on information extracted from the tool documentation or published papers. In this paper, we follow a different approach, in which we firstly identify those characteristics that are currently essential for the development of an SPL, and secondly analyze whether the tools provide or not support for those characteristics. We focus on those tools that satisfy certain selection criteria (e.g., they can be downloaded and are ready to be used). The paper presents a state of practice with the availability and usability of the existing tools for SPL, and defines different roadmaps that allow carrying out a complete SPL process with the existing tool support.

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Finding correlations of features affecting energy consumption and performance of web servers using the HADAS eco-assistant

Cited by 9 publications

References 26 publications

Empirical analysis of the tool support for software product lines

Empirical analysis of the tool support for software product lines

Quality-aware analysis and optimisation of virtual network functions

Software Product Line Engineering

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